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The article introduces the live discussion of the Augmented Mind podcast about the paper 'Reflections and New Directions for Human-Centered Large Language Models', emphasizing that AI development should shift from capability benchmarks to human flourishing and long-term well-being.
A Stanford class on Human-Centered LLMs releases a 60+ page report covering design, data sourcing, training, evaluation, and deployment for developing AI that humans can meaningfully work with.